Piktid

Open your image library, drop a folder into Piktid, and pick the people you need to protect. The app scans each frame, groups the same person across shots, and lets you decide whether to fully replace a face with a new, non-identifiable persona or apply softer transforms. Choose presets for hair, age range, and style, then lock consistency so the same individual is transformed the same way in every photo. Preview side by side, approve the batch, and export to your DAM or cloud drive with filenames, tags, and usage notes intact while sensitive metadata is scrubbed.

For day-to-day content work, set up a repeatable flow. Create an “IG Stories” or “Ads — EMEA” profile that defines output sizes, compression, and privacy rules aligned to local regulations. Drag new images into that profile, review automatic suggestions (e.g., keep staff visible, anonymize visitors), and push out final assets straight to your CMS. When you need variations, generate alternative synthetic identities that retain the original lighting and expressions so creative intent isn’t lost. A continuity toggle keeps the same generated identity across a campaign, ensuring viewers recognize the scene without being able to identify real people.

Legal and compliance teams can manage risk without slowing production. Use policy templates that match European and other regional requirements, set defaults for retention, and require reviewer sign-off before export. Every action is recorded: who transformed what, which policy applied, and proof that personal identifiers were removed. Role-based access ensures only approved users can view originals, and secure storage prevents unapproved downloads. If consent is on file for certain subjects, attach it to the project so the system automatically skips those faces, cutting manual checks.

Agencies and product teams can automate the pipeline. Trigger anonymization via API when new shots land in a watch folder, receive webhooks on completion, and post results to your asset library with the correct naming convention. Use a CLI in CI/CD to sanitize screenshots and launch images before app releases. Designers can pull anonymized comps into Figma or Photoshop, then swap in new variants without starting over. When schedules are tight, combine real scenes with PiktID’s safe personas instead of stock models, keeping the authenticity of your footage while meeting privacy standards.